Papers by Stanley Okoro
Computer Science & Information Technology (CS & IT), 2024
This research explores the consequences of AI integration in the labor market. As AI shapes vario... more This research explores the consequences of AI integration in the labor market. As AI shapes various industries, it brings a dual impact: displacing some jobs while creating others. The automation driven by AI could be a threat to routine tasks, potentially leading to the displacement of specific roles within the routine tasks. However, AI also creates new job opportunities, particularly in AI development and related fields. This study aims to analyze the multifaceted impact of AI on US jobs, considering displacement, creation, and skills. The research considered the following aspects: Evaluation of job displacement and creation, skill shifts, the quality of AI's impact on performance, and exploring the relationship between AI models and human tasks. We were able to show AI's influence on the tasks performed by humans. The negative relationship between AI influence and tasks performed by humans shows that AI indeed has a notable and statistically significant adverse impact on human-performed tasks. We discovered that as AI technology advances and becomes more prevalent, certain tasks and roles traditionally carried out by humans are being automated or replaced by machines. Also, we were able to show the relationship between the AI model and human-performed tasks. It was found that AI models exhibit a substantial and statistically significant positive relationship with tasks performed by humans. Our findings suggest a more optimistic outlook for the labor market, where rather than displacing jobs and workers, AI technologies have the potential to enhance their capabilities and create new opportunities.
Factors Affecting Adoption of Modern Technology by Telecommunications Firms - A case Study of 5G Technology, 2021
This study investigates the factors influencing the adoption of modern technology, specifically f... more This study investigates the factors influencing the adoption of modern technology, specifically focusing on 5G technology, by telecommunication firms in Kenya. The research delves into technological, individual, and organizational aspects affecting adoption. Utilizing a descriptive research design, data was gathered from middle to senior management employees in the sector through structured questionnaires. Correlation and regression analyses were employed for data interpretation. The findings underline the significance of technological, individual, and organizational factors in technology adoption. Lack of technical knowledge, individual preferences, and organizational commitment were identified as key influencers. Recommendations include matching emerging technology with appropriate infrastructure, ensuring user-friendly designs, fostering awareness, encouraging individual innovation, and investing in employee education and training.
Conference Presentations by Stanley Okoro
Computer Science & Information Technology (CS & IT), 2024
Over the past few years, wildfires have become a worldwide environmental emergency, resulting in ... more Over the past few years, wildfires have become a worldwide environmental emergency, resulting in substantial harm to natural habitats and playing a part in the acceleration of climate change. Wildfire management methods involve prevention, response, and recovery efforts. Despite improvements in detection techniques, the rising occurrence of wildfires demands creative solutions for prompt identification and effective control. This research investigates proactive methods for detecting and handling wildfires in the United States, utilizing Artificial Intelligence (AI), Machine Learning (ML), and 5G technology. The specific objective of this research covers proactive detection and prevention of wildfires using advanced technology; Active monitoring and mapping with remote sensing and signaling leveraging on 5G technology; and Advanced response mechanisms to wildfire using drones and IOT devices. This study was based on secondary data collected from government databases and analyzed using descriptive statistics. In addition, past publications were reviewed through content analysis, and narrative synthesis was used to present the observations from various studies. The results showed that developing new technology presents an opportunity to detect and manage wildfires proactively. Utilizing advanced technology could save lives and prevent significant economic losses caused by wildfires. Various methods, such as AI-enabled remote sensing and 5G-based active monitoring, can enhance proactive wildfire detection and management. In addition, super intelligent drones and IOT devices can be used for safer responses to wildfires. This forms the core of the recommendation to the fire Management Agencies and the government.
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Papers by Stanley Okoro
Conference Presentations by Stanley Okoro